activity
20212026
most citedSynthetic Data Augmentation Using GAN For Improved Automated Visual Inspection

5 citations · 28 across the 15 of their papers we have counts for

collaborators

22 papers

cs.LG2026

Graph2TS: Structure-Controlled Time Series Generation via Quantile-Graph VAEs

Shaoshuai Du, Joze M. Rozanec, Andy Pimentel +1

Although recent generative models can produce time series with close marginal distributions, they often face a fundamental tension between preserving global temporal structure and…

cs.LG2026

Tide: A Customisable Dataset Generator for Anti-Money Laundering Research

Montijn van den Beukel, Jože Martin Rožanec, Ana-Lucia Varbanescu

The lack of accessible transactional data significantly hinders machine learning research for Anti-Money Laundering (AML). Privacy and legal concerns prevent the sharing of real fi…

cs.LG2023★ 1 cited

Dealing with zero-inflated data: achieving SOTA with a two-fold machine learning approach

Jože M. Rožanec, Gašper Petelin, João Costa +5

In many cases, a machine learning model must learn to correctly predict a few data points with particular values of interest in a broader range of data where many target values are…

cs.LG2023★ 3 cited

Worker Activity Recognition in Manufacturing Line Using Near-body Electric Field

Sungho Suh, Vitor Fortes Rey, Sizhen Bian +5

Manufacturing industries strive to improve production efficiency and product quality by deploying advanced sensing and control systems. Wearable sensors are emerging as a promising…

cs.HC2023★ 3 cited

Human in the AI loop via xAI and Active Learning for Visual Inspection

Jože M. Rožanec, Elias Montini, Vincenzo Cutrona +7

Industrial revolutions have historically disrupted manufacturing by introducing automation into production. Increasing automation reshapes the role of the human worker. Advances in…

cs.CV2022

Robust Anomaly Map Assisted Multiple Defect Detection with Supervised Classification Techniques

Jože M. Rožanec, Patrik Zajec, Spyros Theodoropoulos +3

Industry 4.0 aims to optimize the manufacturing environment by leveraging new technological advances, such as new sensing capabilities and artificial intelligence. The DRAEM techni…